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Books > Science & Mathematics > Physics > Applied physics & special topics > Biophysics

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Self-Organizing Maps (Paperback, 3rd ed. 2001) Loot Price: R6,714
Discovery Miles 67 140
Repayment Terms: R629 pm x 12*
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Self-Organizing Maps (Paperback, 3rd ed. 2001): Teuvo Kohonen

Self-Organizing Maps (Paperback, 3rd ed. 2001)

Teuvo Kohonen

Series: Springer Series in Information Sciences, 30

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Loot Price R6,714 Discovery Miles 67 140 | Repayment Terms: R629 pm x 12*

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The Self-Organizing Map (SOM), with its variants, is the most popular artificial neural network algorithm in the unsupervised learning category. Many fields of science have adopted the SOM as a standard analytical tool: in statistics,signal processing, control theory, financial analyses, experimental physics, chemistry and medicine. A new area is organization of very large document collections. The SOM is also one of the most realistic models of the biological brain functions.This new edition includes a survey of over 2000 contemporary studies to cover the newest results; the case examples were provided with detailed formulae, illustrations and tables; a new chapter on software tools for SOM was written, other chapters were extended or reorganized.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Springer Series in Information Sciences, 30
Release date: November 2000
First published: 2001
Authors: Teuvo Kohonen
Dimensions: 235 x 155 x 28mm (L x W x T)
Format: Paperback
Pages: 502
Edition: 3rd ed. 2001
ISBN-13: 978-3-540-67921-9
Categories: Books > Science & Mathematics > Physics > Applied physics & special topics > Biophysics
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
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LSN: 3-540-67921-9
Barcode: 9783540679219

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